CES has always been the weird one. Half science fiction showroom, half gadget graveyard. But this year felt different. Not louder. Not flashier. More serious. AI was still everywhere at CES 2026, but the tone shifted.

Fewer gimmicks. Fewer pointless “AI inside” stickers. More real products. More infrastructure. More companies putting their cards on the table about where AI actually goes next..

TDLR:

• CES 2026 marked the end of gimmicky AI gadgets

• Big tech dominated with real 2026 product roadmaps

• AI is moving from features to foundations

• Chips, robotics, and devices are converging fast

• Nvidia, AMD, Google, Amazon, and Samsung set the pace

CES 2026 confirmed a clear shift. AI is no longer being “added” to products. It is defining them. Last year was about experimentation. This year was about deployment.

The show was led by heavyweight players rolling out serious platforms for the year ahead. Nvidia returned to centre stage.

AMD pushed hard on data centre and consumer compute. Google doubled down on device scale. Amazon finally woke Alexa up. Samsung committed AI across hundreds of millions of devices.

The weird gadgets did not disappear. They just stopped mattering

This CES was about infrastructure, not interfaces.

Nvidia unveiled Vera Rubin, its next generation AI compute platform, already in production. Training speeds up. Inference costs drop dramatically. Energy efficiency improves. This is about making large scale AI economically viable, not just powerful.

At the same time, Nvidia pushed hard into robotics. Simulation tools, vision models, action models, and edge hardware are being bundled into a full stack. The goal is clear. Become the default platform for physical AI, the same way Android became the default for smartphones.

AMD answered with its own broad push. Data centre GPUs, consumer CPUs, and long term performance roadmaps. The message was simple. Demand will outstrip supply for the rest of the decade.

This is no longer a model race. It is a manufacturing race..

When infrastructure firms take over CES, it tells you where the market really is.

AI growth is now constrained by chips, energy, memory, and deployment speed. Not ideas. Not demos. Not prompts.

This also explains why the iteration cycles are accelerating. Companies can no longer wait for their own conferences. Every event is now a battleground for narrative and momentum.

AI is becoming baseline. Saying “AI powered” no longer differentiates anything.

Execution does.

• Nvidia

  Setting the pace on compute, robotics, and simulation. Positioning itself as the backbone of physical and digital AI.

• AMD

  Aggressively expanding across data centres and personal devices. Betting on scale and diversification.

• Google

  Quietly winning distribution. Gemini is spreading across phones, appliances, and soon iPhones. Data advantage matters.

• Amazon

  Activating a dormant empire. Alexa Plus and wearable assistants push AI into daily life without changing user behaviour.

• Samsung

  Committing to AI at massive scale. 800 million AI enabled devices by 2026 is not a side project.

Not everything is solved:

• Energy and water constraints are tightening

• Chip shortages remain a real risk

• Consumer fatigue around AI branding is real

• Robotics still struggles outside controlled environments

• Differentiation is getting harder as features converge

  This is the cost of AI growing up.

CES 2026 showed us where the next phase lands.

AI shifts from assistants to systems. From features to foundations. From novelty to necessity.

Robotics, edge compute, and personal AI will move faster than most expect. Not because the tech suddenly improved, but because the infrastructure finally caught up.

2026 will not be about who has the smartest model.

It will be about who ships, who scales, and who people actually trust to run things

🚨JUST IN: Trust Me Bro Labs 🚨

Building something onchain?

Let’s talk. TMB Labs is now offering full-stack growth support for blockchain, AI and social app projects.

Partnerships, strategy, content, socials, and more 👇🏽

This CES was a line in the sand.

The era of AI gimmicks is over. The era of AI operators has started.

Big tech is no longer experimenting in public. They are executing in public. And they are doing it aggressively.

CES did not show us the future this year. It showed us the starting line.

Let’s see who actually finishes the race.

And that's it for today! Thanks for reading ♥️

Explore all our social links on our website: https://link3.to/trustmebroshow

Dive in and connect with us!

CES has always been the weird one. Half science fiction showroom, half gadget graveyard. But this year felt different. Not louder. Not flashier. More serious. AI was still everywhere at CES 2026, but the tone shifted.

Fewer gimmicks. Fewer pointless “AI inside” stickers. More real products. More infrastructure. More companies putting their cards on the table about where AI actually goes next..

TDLR:

• CES 2026 marked the end of gimmicky AI gadgets

• Big tech dominated with real 2026 product roadmaps

• AI is moving from features to foundations

• Chips, robotics, and devices are converging fast

• Nvidia, AMD, Google, Amazon, and Samsung set the pace

CES 2026 confirmed a clear shift. AI is no longer being “added” to products. It is defining them. Last year was about experimentation. This year was about deployment.

The show was led by heavyweight players rolling out serious platforms for the year ahead. Nvidia returned to centre stage.

AMD pushed hard on data centre and consumer compute. Google doubled down on device scale. Amazon finally woke Alexa up. Samsung committed AI across hundreds of millions of devices.

The weird gadgets did not disappear. They just stopped mattering

This CES was about infrastructure, not interfaces.

Nvidia unveiled Vera Rubin, its next generation AI compute platform, already in production. Training speeds up. Inference costs drop dramatically. Energy efficiency improves. This is about making large scale AI economically viable, not just powerful.

At the same time, Nvidia pushed hard into robotics. Simulation tools, vision models, action models, and edge hardware are being bundled into a full stack. The goal is clear. Become the default platform for physical AI, the same way Android became the default for smartphones.

AMD answered with its own broad push. Data centre GPUs, consumer CPUs, and long term performance roadmaps. The message was simple. Demand will outstrip supply for the rest of the decade.

This is no longer a model race. It is a manufacturing race..

When infrastructure firms take over CES, it tells you where the market really is.

AI growth is now constrained by chips, energy, memory, and deployment speed. Not ideas. Not demos. Not prompts.

This also explains why the iteration cycles are accelerating. Companies can no longer wait for their own conferences. Every event is now a battleground for narrative and momentum.

AI is becoming baseline. Saying “AI powered” no longer differentiates anything.

Execution does.

• Nvidia

  Setting the pace on compute, robotics, and simulation. Positioning itself as the backbone of physical and digital AI.

• AMD

  Aggressively expanding across data centres and personal devices. Betting on scale and diversification.

• Google

  Quietly winning distribution. Gemini is spreading across phones, appliances, and soon iPhones. Data advantage matters.

• Amazon

  Activating a dormant empire. Alexa Plus and wearable assistants push AI into daily life without changing user behaviour.

• Samsung

  Committing to AI at massive scale. 800 million AI enabled devices by 2026 is not a side project.

Not everything is solved:

• Energy and water constraints are tightening

• Chip shortages remain a real risk

• Consumer fatigue around AI branding is real

• Robotics still struggles outside controlled environments

• Differentiation is getting harder as features converge

  This is the cost of AI growing up.

CES 2026 showed us where the next phase lands.

AI shifts from assistants to systems. From features to foundations. From novelty to necessity.

Robotics, edge compute, and personal AI will move faster than most expect. Not because the tech suddenly improved, but because the infrastructure finally caught up.

2026 will not be about who has the smartest model.

It will be about who ships, who scales, and who people actually trust to run things

🚨JUST IN: Trust Me Bro Labs 🚨

Building something onchain?

Let’s talk. TMB Labs is now offering full-stack growth support for blockchain, AI and social app projects.

Partnerships, strategy, content, socials, and more 👇🏽

This CES was a line in the sand.

The era of AI gimmicks is over. The era of AI operators has started.

Big tech is no longer experimenting in public. They are executing in public. And they are doing it aggressively.

CES did not show us the future this year. It showed us the starting line.

Let’s see who actually finishes the race.

And that's it for today! Thanks for reading ♥️

Explore all our social links on our website: https://link3.to/trustmebroshow

Dive in and connect with us!